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Bioinformatics for Beginners

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Bioinformatics for Beginners


Two-part course: Saturday and Sunday, March 9 and 10 from 10:00am to 1:00pm

With the advent of new technologies, there is a vast and growing amount of biological data at our fingertips. But how do we find that data and actually use it? Bioinformatics is the field where computational tools are used to analyze complex biological data. As the technology producing these large quantities of data advances, so does the need to wrangle and interpret all of this information. To date, the main characters tasked with this challenge are computer scientists - as well as biologists with a knack for programming. However, user-friendly tools have been developed for those who seek answers within the genetic code for questions about evolution, health, and ancestry, regardless of programming experience.

Join us for a weekend where we will introduce the basics of bioinformatics and help you dive straight into the belly of the computational beast… with no coding background required! You will learn to mine publicly available databases (your taxes paid for this!), compile genetic information, and run analyses about evolution, disease, and genomes. We will guide you through a real dataset to extract interesting details about life directly on your laptop and then help you explore your own questions!


Marjorie Linares did her PhD work at the University of Sydney in Australia working with algae from the Great Barrier Reef. Her research has linked extensive molecular work to conservation genetics, evolution, and ecology. She obtained her Master's in Molecular Medicine from Charite Medical School in Berlin, where she carried out her thesis at the Max Planck Institute for Infection Biology studying the mechanism of RNA regulation in bacteria. During her undergraduate studies at the University of New Orleans, she did barcoding of butterflies she collected from isolated forests of Madagascar. Her interests are all things algae and the use of advanced molecular tools to answer ecological questions.



Map Genspace, 132 32nd Street, Brooklyn, United States
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